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Added preprocessing notebooks
This commit is contained in:
Carlos A. Iglesias
committed by
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GitHub
parent
1a3f618995
commit
86114b4a56
619
ml21/preprocessing/9_String_Data.ipynb
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619
ml21/preprocessing/9_String_Data.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"![](images/EscUpmPolit_p.gif \"UPM\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"# Course Notes for Learning Intelligent Systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"## [Introduction to Preprocessing](00_Intro_Preprocessing.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# String Data\n",
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"It is common to clean string columns so that they follow a predefined format (e.g. emails, URLs, ...).\n",
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"\n",
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"We can do it using regular expressions or specific libraries."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Beautifier\n",
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"Simple [library](https://github.com/labtocat/beautifier) to cleanup and prettify url patterns, domains and so on. Library helps to clean unicodes, special characters and unnecessary redirection patterns from the urls and gives you clean date.\n",
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"\n",
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"Install with **'pip install beautifier'**."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Email cleanup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"from beautifier import Email\n",
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"email = Email('me@imsach.in')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'imsach.in'"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"email.domain"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'me'"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"email.username"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"False"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"email.is_free_email"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"email2 = Email('This my address')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"False"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"email2.is_valid"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"email3 = Email('pepe@gmail.com')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 18,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"email3.is_valid"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"email3.is_free_email"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## URL cleanup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [],
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"source": [
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"from beautifier import Url\n",
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"url = Url('https://in.linkedin.com/in/sachinphilip?authtoken=887nasdadasd6hasdtg21&secret=98jy766yhhuhnjk')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'https://in.linkedin.com/in/sachinphilip'"
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]
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},
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"url.cleanup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'in.linkedin.com'"
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]
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},
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"execution_count": 33,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"url.domain"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['authtoken=887nasdadasd6hasdtg21', 'secret=98jy766yhhuhnjk']"
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]
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},
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"execution_count": 35,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"url.param"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'authtoken=887nasdadasd6hasdtg21&secret=98jy766yhhuhnjk'"
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]
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},
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"execution_count": 37,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"url.parameters"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'sachinphilip'"
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]
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},
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"execution_count": 39,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"url.username"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Unicode\n",
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"Problem: Some unicode code has been broken. We see the character in a different character dataset.\n",
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"\n",
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"A **mojibake** is a character displayed in an unintended character enconding. Example: \"<22>\").\n",
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"\n",
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"We will use the library **ftfy** (fixed text for you) to fix it.\n",
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"\n",
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"First, you should install the library: ***conda install ftfy**. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"¯\\_(ツ)_/¯\n",
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"Party\n",
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"I'm\n"
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]
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}
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],
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"source": [
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"import ftfy\n",
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"foo = '¯\\\\_(ã\\x83\\x84)_/¯'\n",
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"bar = '\\ufeffParty'\n",
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"baz = '\\001\\033[36;44mI’m'\n",
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"print(ftfy.fix_text(foo))\n",
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"print(ftfy.fix_text(bar))\n",
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"print(ftfy.fix_text(baz))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "subslide"
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}
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},
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"source": [
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"We can understand which heuristics ftfy is using."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'ftfy' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m<ipython-input-1-4030b963ff0a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mftfy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexplain_unicode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfoo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m: name 'ftfy' is not defined"
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]
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}
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],
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"source": [
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"ftfy.explain_unicode(foo)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"## Dates\n",
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"Sometimes we want to extract date from text. We can use regular expressions or handy packages, such as **python-dateutil**.\n",
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"\n",
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"Install the library: **pip install python-dateutil**."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"slideshow": {
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"slide_type": "fragment"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2019-08-22 10:22:46+00:00\n"
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]
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}
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],
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"source": [
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"from dateutil.parser import parse\n",
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"now = parse(\"Thu Aug 22 10:22:46 UTC 2019\")\n",
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"print(now)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
|
||||
{
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"name": "stdout",
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"output_type": "stream",
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"text": [
|
||||
"2019-08-22 10:20:00\n"
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]
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||||
}
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],
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"source": [
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"dt = parse(\"Today is Thursday 8, 2019 at 10:20:00AM\", fuzzy=True)\n",
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||||
"print(dt)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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||||
"slideshow": {
|
||||
"slide_type": "skip"
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||||
}
|
||||
},
|
||||
"source": [
|
||||
"# References\n",
|
||||
"* [Cleaning and Prepping Data with Python for Data Science — Best Practices and Helpful Packages](https://medium.com/@rrfd/cleaning-and-prepping-data-with-python-for-data-science-best-practices-and-helpful-packages-af1edfbe2a3), DeFilippi, 2019, \n",
|
||||
"* [Data Preprocessing for Machine learning in Python, GeeksForGeeks](https://www.geeksforgeeks.org/data-preprocessing-machine-learning-python/)\n",
|
||||
"* Beautifier https://github.com/labtocat/beautifier\n",
|
||||
"* Ftfy https://ftfy.readthedocs.io/en/latest/\n",
|
||||
"* python-dateutil https://dateutil.readthedocs.io/en/stable/"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Licence\n",
|
||||
"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
|
||||
"\n",
|
||||
"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"celltoolbar": "Slideshow",
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.4"
|
||||
},
|
||||
"latex_envs": {
|
||||
"LaTeX_envs_menu_present": true,
|
||||
"autocomplete": true,
|
||||
"bibliofile": "biblio.bib",
|
||||
"cite_by": "apalike",
|
||||
"current_citInitial": 1,
|
||||
"eqLabelWithNumbers": true,
|
||||
"eqNumInitial": 1,
|
||||
"hotkeys": {
|
||||
"equation": "Ctrl-E",
|
||||
"itemize": "Ctrl-I"
|
||||
},
|
||||
"labels_anchors": false,
|
||||
"latex_user_defs": false,
|
||||
"report_style_numbering": false,
|
||||
"user_envs_cfg": false
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 1
|
||||
}
|
||||
Reference in New Issue
Block a user